Data & Analytics · Hugging Face · For data scientists

Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.

Orchestra-Research/AI-Research-SKILLs

A skill your agent uses when adding support for a new model to VeOmni.

ByteDance-Seed/VeOmni

Explores Hugging Face datasets through the read-only Dataset Viewer API: list splits, preview and page through rows, search, filter, and fetch parquet links and statistics.

huggingface/skills

Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps.

Orchestra-Research/AI-Research-SKILLs

Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.

A-EVO-Lab/a-evolve

Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining.

NVIDIA/skills

Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference).

oaustegard/claude-skills

A skill your agent uses when users need to search for datasets, download data files, or explore data repositories.

LeoYeAI/openclaw-master-skills